Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/48625
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dc.titleElectrical Spin Injection and Transport in Two-Dimensional Carbon Materials
dc.contributor.authorZHANG CHI
dc.date.accessioned2013-12-31T18:11:46Z
dc.date.available2013-12-31T18:11:46Z
dc.date.issued2013-08-23
dc.identifier.citationZHANG CHI (2013-08-23). Electrical Spin Injection and Transport in Two-Dimensional Carbon Materials. ScholarBank@NUS Repository.
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/48625
dc.description.abstractGraphene is a promising material for spintronics. As graphene itself is usually non-magnetic, high-efficient spin-injection from a ferromagnet is necessary, which is boosted by an insulating contact barrier. However, the large contact resistance poses problems to high-frequency applications. In this context, the possibility of forming a spin efficient contact with a moderate resistance is explored by inserting a Cu layer between the ferromagnet and graphene to make use of the non-ohmic Cu/graphene contact. Clear enhancement of spin-injection efficiency was demonstrated as compared to other graphene spin valves incorporating transparent contacts in literature, and the contact resistance remains significantly lower than tunnel contacts. Besides being employed as a non-magnetic channel, graphene can be theoretically made magnetic through edge engineering. We attempted to probe this edge magnetism using a Ni-carbon nanowall nanocontact. Large magnetoresistance-like features were observed, but they are attributed to mechanical origins. These results proof that ballistic magnetoresistance reported in literature is due to artifacts.
dc.language.isoen
dc.subjectgraphene, spintronics, nonlocal, magnetoresistance, spinFET, nanocontact
dc.typeThesis
dc.contributor.departmentNUS GRAD SCH FOR INTEGRATIVE SCI & ENGG
dc.contributor.supervisorWU YIHONG
dc.description.degreePh.D
dc.description.degreeconferredDOCTOR OF PHILOSOPHY
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Ph.D Theses (Open)

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